Research Of DSRC/WAVE Adaptive Message Dispatcher And Applications

With the development of society, as an important assistant for communication, the transportation system has been an indispensable part of people’s daily life. But the boom of car ownership leads many problems in transportation field such as traffic congestion today. These problems even seriously hiders the development of society. Traditional traffic control system’s disadvantages such as bad interactions and weak sensory abilities make it very hard to solve the problems in transportation field. As a branch of Internet of Things in transportation field, Vehicle Ad-hoc Network(VANET) inherits the characters such as strong sensory and control abilities. VANET provides a new idea to solve the provblems in transportation field. Because it would probably solve these problems thoroughly in future, VANET has become a research hotspot worldwide.There are two parts of works on the main issues of this article. Both locate in the sublayers of VANET’s DSRC/WAVE protocol stack’s application layer. The first part locates in safety message communication sublayer which is the under layer of application layer. This part aims at designing an adaptive message dispatcher to provide communication services for all the applications in VANET. In order to improve the instantaneity of communication, this part brings queue theory to analyse and optimize the message queue in this layer. As a result of analysis, this part puts forward message compressed mechanism and self-adaption sending rate machanism to improve the instantaneity. It also puts forward priority mechanism and safety mechanism to improve the quality of communication service. At the end of this part, an adaptive message dispatcher which could provide safety, real-time communication services for all the applications in VANET is put forward. The second part locates in safety application sublayer which is the upper layer of application layer. This part centers on Autonomous Intersection Management(AIM) based on Multi-Agent System(MAS). It puts forward a intersection control strategy based on vehicle platoon to overcome the weaknesses of the existing strategies. The strategy designs a priority system that considers both traffic efficiency and traffic balance. At the end, the strategy uses game theory to get the group which is the optimal intersection passing schedule.This article conducts experiments on the above works. The results show that after optimizing the communication sublayer can support more than twice of the peak number of vehicles than before. The new strategy based on vehicle platoon is better than Traffic-Light and FCFS strategies in improving the traffic efficiency and avoiding the traffic imbanlance.